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Related papers: Queered Science & Technology Center: Volume 1

200 papers

Quantum Federated Learning (QFL) is an emerging field that harnesses advances in Quantum Computing (QC) to improve the scalability and efficiency of decentralized Federated Learning (FL) models. This paper provides a systematic and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-30 Aakar Mathur , Ashish Gupta , Sajal K. Das

Large language models are increasingly deployed in STEM education for personalized instruction and feedback across institutions in high- and low-income countries. These systems are designed to adapt content to student needs, but whether…

Computers and Society · Computer Science 2026-05-19 Amogh Gupta , Niharika Patil , Sourojit Ghosh , SnehalKumar , S Gaikwad

The LUXE experiment (LASER Und XFEL Experiment) is a new experiment in planning at DESY Hamburg, which will study Quantum Electrodynamics (QED) at the strong-field frontier. In this regime, QED is non-perturbative. This manifests itself in…

The Generative Education (GenEd) Framework explores the transition from Large Language Models (LLMs) to Large Multimodal Models (LMMs) in education, envisioning a harmonious relationship between AI and educators to enhance learning…

Computers and Society · Computer Science 2023-11-23 Daniel Leiker

The rapid evolution of Agentic AI and large language models (LLMs) presents transformative opportunities for higher education institutions. This chapter introduces the concept of self-driving universities, a vision in which AI-enabled…

Computers and Society · Computer Science 2026-02-24 Anis Koubaa

This is a report from the Libraries and Tools Working Group of the High Energy Physics Forum for Computational Excellence. It presents the vision of the working group for how the HEP software community may organize and be supported in order…

High Energy Physics - Experiment · Physics 2015-06-04 Anders Borgland , Peter Elmer , Michael Kirby , Simon Patton , Maxim Potekhin , Brett Viren , Brian Yanny

This paper investigates supervised fine-tuning of large language models (LLMs) to improve their pedagogical alignment in computing education, addressing concerns that LLMs may hinder learning outcomes. The project utilised a proprietary…

Computation and Language · Computer Science 2024-11-05 Alexandra Vassar , Jake Renzella , Emily Ross , Andrew Taylor

Quantum computing education requires students to move beyond classical programming intuitions related to state, determinism, and debugging, and to develop reasoning skills grounded in probability, measurement, and interference. This paper…

Computers and Society · Computer Science 2026-01-27 Umar Farooq , Krishna Upadhyay

The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses that emphasize computational thinking, inferential thinking, and working on real-world problems. We believe that…

Computers and Society · Computer Science 2021-03-18 Ani Adhikari , John DeNero , Michael I. Jordan

This review article provides an overview of research on the topic of gender equity in educational physics labs. As many institutions and instructors seek to evolve or transform physics lab learning, it is important that changes are made…

Physics Education · Physics 2024-03-05 Danny Doucette , Chandralekha Singh

Inspired by the power of large language models (LLMs), our research adapts them to quantum federated learning (QFL) to boost efficiency and performance. We propose a federated fine-tuning method that distills an LLM within QFL, allowing…

Machine Learning · Computer Science 2025-05-27 Dev Gurung , Shiva Raj Pokhrel

The rapid development of artificial intelligence technologies, particularly Large Language Models (LLMs), has revolutionized the landscape of lifelong learning. This paper introduces a conceptual framework for a self-constructed lifelong…

Computers and Society · Computer Science 2024-09-25 Kirill Krinkin , Tatiana Berlenko

This volume contains the proceedings of the 21st International Conference on Quantum Physics and Logic (QPL 2024), which was held from July 15th to 19th, 2024, in Buenos Aires, Argentina, organized jointly by Universidad de Buenos Aires and…

Quantum Physics · Physics 2024-08-12 Alejandro Díaz-Caro , Vladimir Zamdzhiev

In this paper, we describe our methodology for the CLEF 2025 SimpleText Task 2, which focuses on detecting and evaluating creative generation and information distortion in scientific text simplification. Our solution integrates multiple…

Computation and Language · Computer Science 2025-08-19 Krishna Chaitanya Marturi , Heba H. Elwazzan

The proposed Laser Und XFEL (LUXE) Experiment at DESY, Hamburg, aims to probe QED in the strong field non-perturbative regime. This regime will be created in collisions between high-intensity laser pulses and high-energy electron or photon…

High Energy Physics - Experiment · Physics 2021-12-30 Arka Santra

This article explores the potential divides from emerging quantum technologies (QT) on society, covering impacts on science, technology, geopolitics, and societal structures. We aim to challenge the concept of a single "quantum divide" by…

Physics and Society · Physics 2025-03-18 A. Ayda Gercek , Zeki C. Seskir

The ThEdu series pursues the smooth transition from an intuitive way of doing mathematics at secondary school to a more formal approach to the subject in STEM education while favoring software support for this transition by exploiting the…

Logic in Computer Science · Computer Science 2025-05-09 Julien Narboux , Walther Neuper , Pedro Quaresma

The Quantum Entrepreneurship Lab (QEL) is a one-semester, project-based course at the Technical University of Munich (TUM), designed to bridge the gap between academic research and industrial application in the quantum sector. As part of…

As quantum information science advances and the need for pre-college engagement grows, a critical question remains: How can young learners be prepared to participate in a field so radically different from what they have encountered before?…

Physics Education · Physics 2026-01-06 Raquel Coelho , Roy Pea , Christian Schunn , Jinglei Cheng , Junyu Liu
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